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cs.LG2026
Variance-Preserving Orthogonal Selection (VPOS): Greedy Feature Selection via Orthogonal Deflation in PCA Loading Space
Baran Koseoglu, Berrin Yanikoglu
We present Variance-Preserving Orthogonal Selection (VPOS), an unsupervised feature-selection method that performs sequential orthogonal deflation in the variance-weighted principa…
cs.LG2024
Shap-Select: Lightweight Feature Selection Using SHAP Values and Regression
Egor Kraev, Baran Koseoglu, Luca Traverso +1
Feature selection is an essential process in machine learning, especially when dealing with high-dimensional datasets. It helps reduce the complexity of machine learning models, im…
cs.LG2024
OTLP: Output Thresholding Using Mixed Integer Linear Programming
Baran Koseoglu, Luca Traverso, Mohammed Topiwalla +2
Output thresholding is the technique to search for the best threshold to be used during inference for any classifiers that can produce probability estimates on train and testing da…